Beaver, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Beaver, UT | Utah | U.S. |
Occupied Housing Units | 1,001, 100% | 896,194 | 116,211,092 |
No Vehicles Available | 26, 2.60%, see rank | 4.60% | 9.12% |
1 Vehicles Available | 249, 24.88%, see rank | 26.26% | 33.80% |
2 Vehicles Available | 388, 38.76%, see rank | 41.80% | 37.48% |
3 or More Vehicles Available | 338, 33.77%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| Beaver, UT | Utah | U.S. |
Occupied Housing Units | 909, 100% | 880,873 | 115,226,802 |
No Vehicles Available | 15, 1.65%, see rank | 4.52% | 9.03% |
1 Vehicles Available | 261, 28.71%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 306, 33.66%, see rank | 41.75% | 37.64% |
3 or More Vehicles Available | 327, 35.97%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| Beaver, UT | Utah | U.S. |
Occupied Housing Units | 917, 100% | 859,158 | 114,235,996 |
No Vehicles Available | 40, 4.36%, see rank | 4.24% | 8.85% |
1 Vehicles Available | 253, 27.59%, see rank | 25.50% | 33.28% |
2 Vehicles Available | 324, 35.33%, see rank | 42.03% | 37.87% |
3 or More Vehicles Available | 300, 32.72%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| Beaver, UT | Utah | U.S. |
Occupied Housing Units | 870, 100% | 831,563 | 112,611,029 |
No Vehicles Available | 47, 5.40%, see rank | 4.17% | 8.80% |
1 Vehicles Available | 224, 25.75%, see rank | 25.36% | 33.21% |
2 Vehicles Available | 384, 44.14%, see rank | 41.90% | 37.98% |
3 or More Vehicles Available | 215, 24.71%, see rank | 28.57% | 20.01% |
US Census 2000 data
| Beaver, UT | Utah | U.S. |
Occupied Housing Units | 858, 100% | 701,281 | 105,480,101 |
No Vehicles Available | 46, 5.36%, see rank | 5.08% | 10.30% |
1 Vehicles Available | 221, 25.76%, see rank | 26.94% | 34.25% |
2 Vehicles Available | 312, 36.36%, see rank | 41.89% | 38.36% |
3 or More Vehicles Available | 279, 32.52%, see rank | 26.10% | 17.10% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.